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Association of access to parks and recreational facilities with the physical activity of young children
Abstract
Objective To determine associations of the neighborhood and home television environments with young children's physical activity.Method 32 boys and 27 girls age 4 to 7 years wore accelerometers for 3 weekdays and 1 weekend day. The number of televisions in the home and television watching of the child were monitored using TV Allowance units for 3 weeks. A geographic information system was used to measure neighborhood environment variables.Results Hierarchical regression analysis was used to predict physical activity, initially controlling for sex, age, socioeconomic status, adiposity, and child television watching in step 1. In step 2, the number of televisions did not significantly increase the amount of variability accounted for in the prediction of physical activity. In step 3, housing density and the interaction of housing density by sex accounted for an incremental 12% (p < 0.05) of the variability and in step 4 percentage park plus recreation area accounted for a further 10% (p < 0.05) of the variability. Greater housing density predicted increased physical activity of boys, but not girls.Conclusion Neighborhoods with increased proximity between homes and a greater proportion of park area are associated with greater physical activity in young children.
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“However, there may be enormous disparities in access to these opportunities based on household financial considerations, digital technology access, house and yard size, and neighborhood safety and traffic volume [7–11].”
From Early effects of the COVID-19 pandemic on physical activity and sedentary behavior in children living in the U.S. (2020) · cites this paper as [11]
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Beery, T. H. (2020) · Sustainability · doi:10.3390/su12124894 · Cited by 19
Collyer, C., Bell, M. F., & Christian, H. E. (2022) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2022.113974 · Cited by 19
Kim, H., Ma, J., & Akira, M. (2017) · IJASS(International Journal of Applied Sports Sciences) · doi:10.24985/ijass.2017.29.1.1 · Cited by 17
Wang, J., Wang, M., Lau, W. C., Ainsworth, B. E., He, G., & Gao, Y. (2018) · Health & Place · doi:10.1016/j.healthplace.2018.09.004 · Cited by 19
Metadata
- Authors
- Roemmich, J. N., Epstein, L. H., Raja, S., Yin, L., Robinson, J., & Winiewicz, D.
- Affiliations
- University at Buffalo, State University of New York (US)
- Corresponding author
- Roemmich, James N.
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 43
- Issue
- 6
- Pages
- 437-441
- ISSN
- 0091-7435 (ISSN-L)
- OpenAlex
- W2097752401
- Cited by
- 412
- References
- 31
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 14 · 2023: 11 · 2022: 21 · 2021: 16 · 2020: 15 · 2019: 33 · 2018: 18 · 2017: 27 · 2016: 29 · 2015: 28 · 2014: 25 · 2013: 39 · 2012: 22
- FWCI
- 46.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University at Buffalo
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK063442)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Urban Studies › Urban Green Space and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Keywords
- physical activity, young children, neighborhood environment, housing density, television viewing, sex differences, built environment, accelerometry
- MeSH terms
- Child, Child, Preschool, Environment Design, Female, Humans, Male, Motivation, Motor Activity, New York, Play and Playthings, Public Facilities, Recreation, Regression Analysis, Residence Characteristics, Socioeconomic Factors, Television, Health Behavior, Body Mass Index, Walking, Monitoring, Ambulatory, Overweight
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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